# Differences with torch.mvlgamma

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## torch.mvlgamma

```text
torch.mvlgamma(input, p) -> Tensor
```

For more information, see [torch.mvlgamma](https://pytorch.org/docs/1.8.1/generated/torch.mvlgamma.html).

## mindspore.ops.mvlgamma

```text
mindspore.ops.mvlgamma(input, p) -> Tensor
```

For more information, see [mindspore.ops.mvlgamma](https://www.mindspore.cn/docs/en/r2.3.0rc1/api_python/ops/mindspore.ops.mvlgamma.html).

## Differences

MindSpore API function is consistent with that of PyTorch, with differences in the data types supported by the parameters.

PyTorch: The dtype of the parameter `input` can be ``int`` or ``float``.

MindSpore: The dtype of the parameter `input` can be ``float32`` or ``float64``.

| Categories | Subcategories |PyTorch | MindSpore | Difference |
| --- | ---   | ---   | ---        |---  |
| Parameters | Parameter 1 | input | input | Both are Tensor, and the dtype of the parameter `input` in torch.mvlgamma can be ``int`` or ``float``. The dtype of the parameter `input` in mindspore.ops.mvlgamma can be ``float32`` or ``float64``.|
|      | Parameter 2 | p | p | - |